Litgu.ru - Литературный Гуру

Название: Ansible DevOps Cookbook: End-to-end automation solutions including setup, playbooks, cloud services, CI/CD integration, and ansible tower management
Автор: Thorne Montgomery
Издательство: GitforGits
Год: 2024
Страниц: 449
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

A collection of over seventy-five solution-focused recipes, "Ansible DevOps Cookbook" will show you how to use Ansible to fix problems, simplify operations, and boost the efficiency of your DevOps practices. You should start by creating an efficient inventory system, configuring control and managed nodes, and setting up your Ansible environment. You can implement effective solutions such as handling more complex playbook techniques, such as working with variables, facts, conditionals, loops, and more. You will be skillful to organize playbooks and create reusable automation with Ansible roles. You can increase your automation capabilities by accessing community-driven content through Ansible Galaxy, which is explained in the book. When it comes to cloud integration, the book goes into great detail on how to automate deployments on AWS, Azure, and GCP. These recipes show how to use Ansible modules for managing and provisioning cloud infrastructure, so you can manage resources efficiently and ensure high availability and performance. Ansible, Jenkins, and GitLab are among the many of the tools covered in this book, which teaches you to automate the build, test, and deployment pipeline as part of continuous integration and continuous delivery. This book's practical, real-world solutions will help you improve your DevOps practices and maximize the effectiveness of Ansible in your automation processes.

Название: TensorFlow Absolute For Beginners Tutorial: A Basics Beginner's Tutorial Guide
Автор: Kavi & Shila
Издательство: Kavi & Shila Book Publication House
Год: 2024
Страниц: 111
Язык: английский
Формат: epub
Размер: 13.2 MB

Have you ever wondered how computers can learn and make intelligent decisions? This book is your entry point to the world of Machine Learning with TensorFlow, Google's powerful open-source library. Even if you have no prior experience with Machine Learning or coding, this book will gently guide you through the fundamentals. You'll build a solid understanding of key concepts like: - What machine learning is and its exciting applications; - Grasping the core idea of tensors, the building blocks of TensorFlow; - Unveiling the computational graph, the heart of TensorFlow programs; - Hands-on exercises to practice building basic machine learning models. This book is your springboard to a fascinating journey into the world of TensorFlow and Machine Learning. Get ready to unlock the potential of data and empower computers to learn from experience!

Название: Cryptography and Cryptanalysis in Java: Creating and Programming Advanced Algorithms with Java SE 21 LTS and Jakarta EE 11, 2nd Edition
Автор: Stefania Loredana Nita, Marius Iulian Mihailescu
Издательство: Apress
Год: 2024
Страниц: 306
Язык: английский
Формат: pdf
Размер: 10.1 MB

Here is your in-depth guide to cryptography and cryptanalysis in Java. This book includes challenging cryptographic solutions that are implemented in Java 21 and Jakarta EE 11. It provides a robust introduction to Java 21's new features and updates, a roadmap for Jakarta EE 11 security mechanisms, a unique presentation of the "hot points" (advantages and disadvantages) from the Java Cryptography Architecture (JCA), a new chapter on Quantum cryptography, and more. The book dives into the classical simple cryptosystems that form the basis of modern cryptography, with fully working solutions (encryption/decryption operations). Pseudo-random generators are discussed as well as real-life implementations. Hash functions are covered along with practical cryptanalysis methods and attacks, asymmetric and symmetric encryption systems, signature and identification schemes. The book wraps up with a presentation of lattice-based cryptography and the NTRU framework library. Modern encryption schemes for cloud and big data environments (homomorphic encryption and searchable encryption) also are included. After reading and using this book, you will be proficient with crypto algorithms and know how to apply them to problems you may encounter. Applied cryptography and theoretical cryptography are essential components of the greater science of cryptography, each playing unique but interrelated functions. Comprehending the distinctions between them helps provide an understanding of how cryptographic systems are created, examined, and put into practice. Theoretical cryptography is a branch of cryptography that focuses on the fundamental principles, mathematical theories, and abstract models underlying cryptographic algorithms and protocols. Applied cryptography is a field that deals with the practical implementation and utilization of cryptographic methods in real-world scenarios.

Название: Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models, 2nd Edition
Автор: Nimish Sanghi
Издательство: Apress
Год: 2024
Страниц: 650
Язык: английский
Формат: pdf
Размер: 17.4 MB

Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL). This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field. New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities. You'll also review the steps for using the code on multiple cloud systems and deploying models on platforms such as Hugging Face Hub. The code is in Jupyter Notebook, which canbe run on Google Colab, and other similar Deep Learning cloud platforms, allowing you to tailor the code to your own needs. For software engineers and Machine Learning developers eager to sharpen their understanding of deep RL and acquire practical skills in implementing RL algorithms fromscratch.

Название: Ultimate Certified Kubernetes Administrator (CKA) Certification Guide: Become CKA Certified with Ease by Mastering Cluster Management and Orchestration with Kubernetes
Автор: Rajesh Vishnupant Gheware
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 368
Язык: английский
Формат: pdf, epub (true)
Размер: 89.8 MB

Securing the Future of IoT with Advanced Edge Computing Solutions. Embark on a journey from beginner to pro with this CKA Certification Guide. Seamlessly blending theory with hands-on practice, this indispensable Kubernetes companion provides clear explanations and real-world scenarios to guide you to success in Kubernetes administration. The book starts by giving a solid understanding of Kubernetes platform and how to confidently set up your clusters with step-by-step instructions. You will dive into Workload Objects to master crucial concepts, then explore Service and Ingress for a deep understanding of networking. Next, it moves to deploy and scale applications, ensuring you're ready for any workload. This book offers the tools needed to design, deploy, and maintain efficient, scalable, and resilient applications in Kubernetes environments. It covers essential topics such as Pods, Deployments, and StatefulSets, along with providing insights into Kubernetes architecture and operations. The advanced section of the book focuses on enhancing your skills with chapters on security and troubleshooting, ensuring you can maintain your clusters effectively and managing microservices with precision. The final section of the book covers focused content and practice exercises to prepare you to ace the CKA certification exam.

Название: Demystifying Artificial Intelligence: Symbolic, Data-Driven, Statistical and Ethical AI
Автор: Emmanuel Gillain
Издательство: De Gruyter
Год: 2024
Страниц: 476
Язык: английский
Формат: pdf (true), epub
Размер: 34.1 MB

This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence (AI), their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into Machine Learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. Out of the different fields of AI, much of the attention over the last years has been focused on the field of Machine Learning (ML), its subfield artificial neural network with Deep Learning, and natural language processing (NLP).

Название: The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies
Автор: Anthony Elliott
Издательство: De Gruyter
Год: 2024
Страниц: 316
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies examines the relationship of the social sciences to Artificial Intelligence, surveying the various convergences and divergences between science and technology studies on the one hand and identity transformations on the other. It provides representative coverage of all aspects of the AI revolution, from employment to education to military warfare, impacts on public policy and governance and the future of ethics. How is AI currently transforming social, economic, cultural and psychological processes? This handbook answers these questions by looking at recent developments in supercomputing, Deep Learning and neural networks, including such topics as AI mobile technology, social robotics, Big Data and digital research. It focuses especially on mechanisms of identity by defining AI as a new context for self-exploration and social relations and analyzing phenomena such as race, ethnicity and gender politics in human-machine interfaces.

Название: PHP and Algorithmic Thinking for the Complete Beginner, 3rd Edition
Автор: Aristides S Bouras
Издательство: Independently published
Год: 2024
Страниц: 1409
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Completely updated for the latest version of PHP, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals, eager to learn PHP from scratch, providing a strong foundation in Algorithmic Thinking—the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding. This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files. Structured for both classroom use and independent study, each chapter is concluded with a set of questions and exercises designed to reinforce your understanding and apply what you've learned. With approximately 250 solved and 480 unsolved exercises, 500 true/false questions, 150 multiple-choice questions, and 200 review questions and crosswords (with solutions and answers available online). Notice: This book is exclusively focused on developing command-line interface (CLI) applications.

Название: Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and the Future of Cognition
Автор: Patrick Krauss
Издательство: Springer
Год: 2024
Страниц: 258
Язык: английский
Формат: pdf (true), epub
Размер: 15.3 MB

How does Artificial Intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural networks and how can the term Deep Learning be explained simply? Since the cognitive revolution in the middle of the last century, AI and brain research have been closely intertwined. There have been several spectacular breakthroughs in the field of AI in recent years, from alphaGo to DALL-E 2 and ChatGPT, which were completely unthinkable until recently. However, researchers are already working on the innovations of tomorrow, such as hybrid machine learning or neuro-symbolic AI. But what does this actually mean? Based on current research findings and exciting practical examples, this non-fiction book provides an understandable introduction to the basics and challenges of these fascinating disciplines. You will learn what neuroscience and psychology know about how the brain works and how artificial intelligence works. You will also learn how AI has revolutionized our understanding of the brain and how findings from brain research are used in computer science to further develop AI algorithms. Discover the fascinating world of these two disciplines. Find out why Artificial Intelligence and brain research are two sides of the same coin and how they will shape our future. Recently, Artificial Intelligence (AI) and Machine Learning have been making their way into more and more areas, such as medicine, science, education, finance, engineering, entertainment, and even art and music, and are becoming ubiquitous in twenty-first-century life. Many of the algorithms, design principles, and concepts used in AI today, such as neural networks or the aforementioned reinforcement learning, have their origins in biology and psychology. Therefore, neuroscience lectures are becoming an integral part of courses such as Computer Science or Artificial Intelligence at more and more universities.

Название: IOT Интернет вещей
Автор: Джейд Картер
Издательство: Литрес
Год: 2024
Страниц: 180
Формат: pdf
Язык: русский
Размер: 10,1 Мб

Книга "Интернет вещей (IoT): Разработка, Интеграция и Управление Устройствами" является руководством по изучению и применению технологий IoT на практике. Она охватывает основные аспекты разработки устройств, включая работу с популярными платформами Arduino и Raspberry Pi, интеграцию различных устройств и использование ключевых протоколов связи, таких как MQTT и CoAP. Также рассматриваются платформы управления IoT, такие как AWS IoT и Google Cloud IoT, и их применение в реальных проектах.